Zhili Pan

Security Consultant at Huawei

Helsinki, Finland
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Summary

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Senior
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Top School
Zhili Pan is a security consultant and system/software security enthusiast with nine years of hands-on experience spanning cloud, embedded, and mobile environments. Based in Helsinki and trained at ETH Zürich and University of Toronto, he focuses on memory compartmentalization, confidential VMs, TEEs, and control-flow integrity while exploring hardware-assisted defenses and supply-chain security. At Microsoft he engineered terabyte-scale threat-intelligence pipelines on Azure, drove CI/CD security automation to full compliance, and cut annual operational costs by over $1M through pipeline redesign. He contributes to notable open-source projects like matplotlib, improving numeric handling and test coverage, reflecting a pragmatic attention to correctness and compatibility. Known for combining deep research interests with production-grade engineering, he also brings teaching and mentorship experience from university labs and internship leadership.
code9 years of coding experience
job3 years of employment as a software developer
bookHonours Bachelor of Science, Computer Science, GPA 3.94/4.0, Honours Bachelor of Science, Computer Science, GPA 3.94/4.0 at University of Toronto
bookMaster of Science - MS, Cyber Security, Master of Science - MS, Cyber Security at ETH Zürich
languagesEnglish, Chinese
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Github Skills (8)

data-visualizations10
data-visualization10
data-visualisation10
python10
data-science10
numpy10
matplotlib10
testing9

Programming languages (7)

TypeScriptC#JavaRJavaScriptPythonClojure

Github contributions (5)

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matplotlib/matplotlib

Mar 2019 - May 2019

matplotlib: plotting with Python
Role in this project:
userBack-end Developer
Contributions:29 commits, 2 PRs, 35 comments in 1 month
Contributions summary:Zhili primarily worked on improving the `matplotlib` library's functionality, particularly related to handling numerical data. Their contributions focused on addressing issues with Decimal inputs for bar charts and ensuring correct alignment calculations. They also made style fixes and added missing import statements to resolve compatibility issues. Furthermore, the user refactored code related to the conversion of Decimal values, and updating test cases.
pythondata-sciencegtkdata-visualizationplotting
Contributions:18 pushes, 1 branch in 5 years 3 months
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Zhili Pan - Security Consultant at Huawei